is_extension_array_dtype(arr_or_dtype) -> 'bool'
See the Use Guide <extending.extension-types>
for more.
This checks whether an object implements the pandas extension array interface. In pandas, this includes:
Categorical
Sparse
Interval
Period
DatetimeArray
TimedeltaArray
Third-party libraries may implement arrays or types satisfying this interface as well.
For array-like input, the .dtype
attribute will be extracted.
Whether the :None:None:`arr_or_dtype` is an extension array type.
Check if an object is a pandas extension array type.
>>> from pandas.api.types import is_extension_array_dtypeThis example is valid syntax, but we were not able to check execution
... arr = pd.Categorical(['a', 'b'])
... is_extension_array_dtype(arr) True
>>> is_extension_array_dtype(arr.dtype) TrueThis example is valid syntax, but we were not able to check execution
>>> arr = np.array(['a', 'b'])See :
... is_extension_array_dtype(arr.dtype) False
The following pages refer to to this document either explicitly or contain code examples using this.
pandas.core.dtypes.common.is_extension_array_dtype
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